Event Time Modeling is a statistical methodology within longitudinal phenotype trajectory analysis that characterizes the timing of phenotypic events by specifying the distribution of time-to-event outcomes in relation to dynamic biological or clinical states.
170
Publications
13.9K
Citations
474
Authors
254
Institutions
Publications per year
2017–2026
39
Publications
170
Joint modelling of longitudinal measurements and event time data
Robert K. Henderson · Biostatistics · 2000 · 916 citations
Marianthi‐Anna Kioumourtzoglou, Joel Schwartz, Marc G. Weisskopf et al. · Environmental Health Perspectives · 2015 · 462 citations · Full text
1–5 of 170
Authors
474
- LT
5
h-index
- DB
5
h-index
- DR
4
h-index
- BC
4
h-index
- SD
3
h-index
1–5 of 474
Institutions
254
Harvard University
Cambridge, United States
14 h-index
29 publications
2.7K citations
Stanford University
Stanford, United States
6 h-index
6 publications
602 citations
University of Michigan
Ann Arbor, United States
6 h-index
8 publications
738 citations
Cancer Research And Biostatistics
Seattle, United States
5 h-index
7 publications
844 citations
Erasmus MC
Rotterdam, The Netherlands
5 h-index
9 publications
1.1K citations
University of Copenhagen
Copenhagen, Denmark
4 h-index
7 publications
228 citations
University of Pittsburgh
Pittsburgh, United States
4 h-index
12 publications
307 citations
University of Waterloo
Waterloo, Canada
4 h-index
6 publications
328 citations
1–8 of 254
Venues
- Statistics in Medicine
20 publications · 1K citations
16
h-index
- Biometrics
16 publications · 1.5K citations
14
h-index
- Biostatistics
8 publications · 1.4K citations
8
h-index
- Journal of the American Statistical Association
6 publications · 2.5K citations
6
h-index
- Biometrical Journal
4 publications · 229 citations
4
h-index
1–5